摘要
基于景宁县第五次森林资源调查数据,通过双向指示分析进行统计,研究景宁县不同森林类型碳储量和碳密度分布情况。结果表明,景宁县境内主要包括马尾松、杉木、硬阔林、软阔林以及竹林5种森林类型的森林碳储量总计为1.861Tg,平均碳密度为13.17t/hm^2,低于全国水平,在5种森林类型中杉木林碳储量最高,竹林次之,马尾松林最少;碳密度与土壤质地、平均胸径、郁闭度、海拔、龄组、平均高、疏密度、单位面积蓄积量等小班因子呈极显著相关(P<0.001),且相关关系逐渐增强,其中碳密度受群落疏密度和单位面积蓄积量的影响作用最明显,与坡度级、坡向、土壤厚度等因子无显著相关性(P>0.05)。文中对森林类型碳储量差异性以及碳密度与群落因子间的关系进行了分析讨论,并对碳储量估算精度进行评估。
The Two-way Indicator Species Analysis was used to study the carbon reserve and carbon density distribution of forest stands in Jingning County based on the fifth forest resource survey data.The results showed that the total carbon reserve of five forest stands of Pinus massoniana,Cunninghamia lanceolata,hardwood broadleaved forest,soft broadleaved forest and bamboo forest in Jingning was 1.861 Tg,and the average carbon density was 13.17 t/hm^2 which was lower than that of the state,and among the five forest types,the carbon reserve of Cunninghamia lanceolata forest was the highest,followed by bamboo forest and that of Pinus massoniana was the lowest.Carbon density was significantly correlated with subcompartment factors of soil texture,average DBH,canopy density,altitude,age group,average height,density and volume per unit area(P<0.001),and the correlation enhanced gradually.The effects of community density and volume per unit area were the most obvious while slope gradient,slope direction and soil thickness had no significant correlation(P>0.05).This paper analyzed the difference of carbon reserves of different forest types and the relationship between carbon density and community factors,and evaluated the estimation accuracy of carbon reserves.
作者
侯建花
马学欣
叶玉珠
HOU Jianhua;MA Xuexin;YE Yuzhu(Forestry Bureau of Jingning She Autonomous County,Jingning,Zhejiang 323500,China;College of Information Engineering,Zhejiang A&F University,Lin'an,Zhejiang 311300,China)
出处
《林业调查规划》
2019年第4期1-6,共6页
Forest Inventory and Planning
基金
景宁畲族自治县科技计划项目(2014A05-5)
浙江省教育厅项目(Y201432350)
关键词
碳储量
碳密度
森林类型
龄组
起源类型
环境因子
景宁畲族自治县
carbon reserve
carbon density
forest types
age group
origin types
environmental factors
Jingning She Autonomous County